Yi Wang1, Xingfeng Shao1, Thomas Martin1, Steen Moeller2, Essa Yacoub2, and Danny JJ Wang1
1Neurology, UCLA, Los Angeles, CA, United States, 2Center of Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States
Synopsis
The
application of balanced SSFP (bSSFP) is limited by the banding artifact
resulting from its sensitivity to field inhomogeneity. A common approach
for band reduction involves multiple measurements with different RF phase
cycling, at the cost of lengthened total imaging time. In this work, we present
a novel time-efficient bSSFP banding reduction technique by utilizing
simultaneous multi-slice (SMS) imaging with CAIPIRINHA to acquire multiple
phase-cycled images within the same imaging time of a single-band bSSFP scan.
Effective band reduction is demonstrated in phantom, abdominal and brain
imaging with SMS factor up to four.Purpose
Balanced SSFP (bSSFP) is of interest to a wide range of
clinical applications, due to its unique T2/T1
contrast and fast imaging speed.
However, the main limitation of bSSFP is the banding artifact resulting
from its sensitivity to field inhomogeneity. A common approach
for band reduction involves multiple measurements with different RF phase
cycling [1], at the cost of lengthened total imaging time. Here, we present a novel
time-efficient bSSFP banding reduction technique by utilizing simultaneous
multi-slice (SMS) imaging with CAIPIRINHA (CAIPI-SMS) to acquire multiple
phase-cycled images within the same imaging time of a single-band (SB) bSSFP
scan. Effective band reduction is demonstrated in phantom, abdominal and brain
imaging with SMS factor up to four.
Theory
The proposed phase-cycled SMS imaging
for bSSFP banding reduction exploits an important property of CAIPIRINHA [2],
i.e., the phase modulation of the multiband (MB) excitation pulses not only
results in a spatial shift along the phase encoding direction in image space,
but also a shift in the bSSFP off-resonance profiles. Figure 1a shows the imaging strategy of the presented technique —
interleaved CAIPI–SMS imaging with temporally modulated RF phase cycling, using
a SMS factor of 3 as an example.
Specifically, 3 slices are excited simultaneously with a spatial shift
of FOV/3 (red), 0 (blue) and –FOV/3 (green) along the phase encoding direction,
respectively, resulting in 2π/3, 0, -2π/3
shift in their off-resonance profiles (Fig. 1b). By performing modulated phase cycling in time,
each slice location experiences 3 different phase cycling with 3 MB excitations,
which can be subsequently combined for banding reduction. The total scan time of CAIPI-SMS bSSFP is the
same as that of a standard banding prone bSSFP scan, excluding the time for
acquiring reference images. The same scheme can be applied for other SMS
factors. It is noted that the relatively
large spacing between simultaneously excited slices allows high acceleration
factors and dense slice sampling with a low g-factor
penalty.
Methods
Three
(23±2 yo) and one (23 yo) healthy participant underwent brain and abdominal
imaging on a 3T Siemens Prisma system, using a 32-ch head coil and 18-ch
body/12-ch spinal array coil, respectively.
Phantom imaging: 12
axial slices of a gel phantom (with a paperclip attached to generate
susceptibility artifact) were acquired using interleaved CAIPI-SMS with SMS
factor of 2 (with FOV/2 shift), 3 (with FOV/3 shift) and 4 (with FOV/4 shift),
respectively. Voxel size=1.3x1.3x5mm3,
TR/TE=4.06/2.03ms, FA=30º, bandwidth=555Hz/Px.
The spacing within SMS was 90, 60 and 45mm for the SMS factor of 2, 3,
and 4, respectively.
Abdominal imaging: 3 axial slices
were acquired in a 9s breath-hold scan with a SMS factor of 3 and a FOV/3
shift. FOV=380mm2,
matrix=320x320, voxel size=1.2x1.2x5mm3, TR/TE=3.64/1.82ms, FA=19º. The slice spacing within SMS was 45mm.
Brain
imaging: imaging parameters were the same as phantom study. Additionally, 24 axial slices were acquired
using a SMS factor of 4 without inter-slice gaps for whole-brain imaging. The slice spacing within SMS was 30mm. All aliased SMS slices were reconstructed
using slice-GRAPPA [3] algorithm with a kernel size of 3x3. Phase cycled images
were combined using both maximum intensity and sum of squares. To evaluate the effect of SMS factor on bSSFP
banding reduction, both percent ripple [1] and SNR efficiency = SNR/g*sqrt(total
scan time) [1] were quantified within the banding affected regions across all
the SMS accelerated brain scans.
Results and Discussion
Multiple phase-cycled CAIPI-SMS
slices from the gel phantom are shown in Fig. 2. Individual un-aliased images indicate that
different phase cycling leads to variation in banding behavior, e.g., shift in
banding location. Banding reduction
performance using CAIPI-SMS is comparable to that of standard RF phase cycling
approach (data not shown). Phase-cycled
bSSFP abdominal images acquired with SMS factor of 3 are displayed in Fig. 3. Banding artifact is suppressed effectively in
both maximum intensity and sum-of-squares combined imaging slices
(arrows). Figure 4a shows the
sum-of-square-combined whole-brain bSSFP images with SMS-4 and FOV/4 CAIPI-shift. Within the same imaging time, the banding
artifact in single-band bSSFP images (Fig. 4b) is successfully suppressed in CAIPI-SMS-4
combined images (Fig. 4a). Quantified
percent ripple and SNR efficiency from brain imaging across SMS acceleration factor
of 2, 3 and 4 are listed in Table 1. The percent ripple drops, while SNR
efficiency increases with higher SMS factor.
Conclusion
A time-efficient bSSFP banding suppression technique is
presented using phase-cycled CAIPI-SMS imaging for abdominal and brain imaging.
Compared to conventional
phase cycling techniques, which requires multiple acquisitions, the proposed
phase-cycled CAIPI-SMS bSSFP technique imposes minimal loss in SNR efficiency
besides the potential g-factor
penalty induced by the SMS acquisition.
Acknowledgements
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